HIPS / pgmultLinks
Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
☆61Updated 4 years ago
Alternatives and similar repositories for pgmult
Users that are interested in pgmult are comparing it to the libraries listed below
Sorting:
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆84Updated 5 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆52Updated 7 years ago
- ☆155Updated 6 years ago
- Variational Fourier Features☆85Updated 4 years ago
- ☆99Updated 7 years ago
- Library of common tools for machine learning research.☆41Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- ELFI - Engine for Likelihood-Free Inference☆279Updated 7 months ago
- Scikit-learn compatible estimation of general graphical models☆247Updated 6 months ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- Pseudo-Marginal Slice Sampling☆19Updated 9 years ago
- Dirichlet MLE python library☆117Updated 4 months ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 5 years ago
- Topic modelling software using non-parametric methods☆70Updated 9 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 6 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆306Updated 10 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- ☆30Updated 8 years ago
- Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.☆149Updated 8 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- ☆46Updated 12 years ago
- ABCpy package☆116Updated last year